Data science, machine learning and analytics are changing the world – and the world of design won’t be immune to this transformation. Big data and tools such as machine learning can provide the types of insights that user researchers and user experience designers have always dreamed of.
This data-driven approach allows user experience designers to better target areas for further investigation and uncover what drives these behaviours, ultimately designing better products and services.
By uncovering patterns, hidden deep in massive data sets, we can leverage highly contextual quantitative research to inform exactly where to focus high-touch qualitative user research. Working hand-in-hand, designers and data scientists can collaborate to better understand the behaviours, needs and desires of large populations. This talk will explore some of the methodologies for this type of collaboration and select case studies.
Designers and strategists, particularly those working with analytics or other types of large data sets.
Things Audience Members Will Learn
- Core concepts of AI, Machine Learning & Deep Learning
- Overcoming language constraints in Data Science
- Best practices for employing analytics in user experience design
- How quantitative and qualitative research reinforce one another